---
title: Apache Spark
description: Automate Apache Spark<sup>®</sup> operations with Canonical. 24/7 supported
  – in the data centre and on the cloud for big data solutions
url: https://canonical.com/data/spark?format=md
---

# Apache Spark® operations, simplified

Supported with Ubuntu Pro

Secure and automate the deployment, maintenance and upgrades of Spark on Kubernetes. Run your big data clusters across private and public clouds.

[Contact us](https://canonical.com/contact-us)

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## Made to give you peace of mind

10 years security maintenance

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Open source

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Simple per node subscription

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## A complete solution for Spark® with enterprise-grade support

Simply the best way to run Apache Spark®, whether on the cloud or in your data center.

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* Supported and maintained for up to 10 years
* Runs on Kubernetes
* GPU acceleration
* Integrated monitoring
* Includes a fully supported distribution of Apache Spark

[Get started with Charmed Spark](https://canonical.com/data/spark/docs/latest)
[Get support](https://canonical.com/data/spark/support)

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## Set up

Run Apache Spark® on

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Integrate Apache Spark® with

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## What can you achieve with Spark®?

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### Streaming data integration

Integrate, join and process data in motion with Spark Streaming for streaming applications ranging from industrial IoT to clickstream.

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Batch data processing

Develop advanced batch data processing applications that crunch big data and run at massive scale.

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SQL analytics

Use Spark SQL and Apache Kyuubi to write advanced SQL queries to perform analysis on your data – whatever form it takes.

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Machine learning

Use Spark's MLlib toolkit to build machine learning models trained on vast datasets, or use Spark for feature engineering in Python – all using your Kubernetes cluster.

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## Charmed Spark services

Charmed Spark is available self-managed or as a fully managed solution remotely delivered in your on-premise environment
or cloud tenancy.

### Managed **from $3099** per node, per year

Get there faster. Let us deploy and operate your Spark cluster, in your cloud tenancy or in your data center.

What's included

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* Backed by an SLA
* MSP and SOC2 certified service
* Low cost of ownership

### Self-managed **from $500** per node, per year

24/7, weekday or advanced fire-fighting support for Spark from Canonical for up to 10 years per release track.

What's included

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* Expert troubleshooting on hand
* Security and bug fixes
* Full stack coverage

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## Consulting services

Expert support for your Spark® project directly from Canonical.

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* Platform architecture and design
* Solution deployment
* Ad-hoc consulting

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## Customer story

[The Tech Behind Europe's Space Missions | Canonical x ESA](https://www.youtube.com/embed/JKZKpXaJsPI?rel=0 "Play Video")

Explore how Canonical deployed infrastructure solutions and managed IT services for critical space mission
operations
for the European Space Agency.

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## [Get started with Charmed Spark ›](https://canonical.com/data/spark/docs/latest)

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## Apache Spark® resources

### [Open source data lakehouse architecture with Spark and Kyuubi – an engineering deep dive](https://ubuntu.com/engage/data-lakehouse-spark-kyuubi)

Discover how Apache Spark’s scalable processing engine and Apache Kyuubi’s user-friendly SQL gateway enable efficient,
secure, and high-performance analytics on unified data sets.

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### [Apache Spark security: start with a solid foundation](https://ubuntu.com/blog/apache-spark-security-start-with-a-solid-foundation)

Read about our approach to securing big data analytics with Apache Spark

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### [Make better decisions with open source big data and AI](https://ubuntu.com/engage/open-source-big-data-ai)

Learn about the latest trends in big data and AI and how to build a future-proof analytics stack with open source.

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Apache®, Apache Spark, Spark®, Apache Kyuubi, Kyuubi®, the Spark and Kyuubi logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.

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### Talk to our Apache Spark solution architects

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Fill in this form and a member of our team will be in touch shortly.
